David R. Lovell

According to our database, David R. Lovell authored at least 25 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data.

Becki Cook, Stephen Corporal, Jarryd Aleckson, Renee Blackman, Glenn Kefford, David R. Lovell, Kerrie L. Mengersen

J. Community Informatics, 2024

Delicate Decisions at the Intersection of Intensive Care and Machine Learning - How Human Information Needs inform the Development of Decision Support.

Tamara Orth, Aloha Hufana Ambe, David R. Lovell, Dimitri Perrin

Proceedings of the 2024 Australasian Computer Science Week, 2024

2023

Designing Interaction with AI for Human Learning: Towards Human-Machine Teaming in Radiology Training.

Margot Brereton, Aloha May Hufana Ambe, David R. Lovell, Laurianne Sitbon, Tara Capel, Alessandro Soro, Yue Xu, Catarina Moreira, Benoît Favre, Andrew P. Bradley

Proceedings of the 35th Australian Computer-Human Interaction Conference, 2023

Rethinking the Design of Human-Data Interaction through a Study of Older Adults' Wellbeing.

Aloha May Hufana Ambe, Sirinthip Roomkham, David R. Lovell, Margot Brereton

Proceedings of the 35th Australian Computer-Human Interaction Conference, 2023

Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective.

David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley

Proceedings of the International Conference on Machine Learning, 2023

2022

Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions.

David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley

CoRR, 2022

2021

Exploring technologies to better link physical evidence and digital information for disaster victim identification.

David Lovell, Kellie Vella, Diego Muñoz, Matt McKague, Margot Brereton, Peter Ellis

CoRR, 2021

Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes.

David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley

Proceedings of the Data Mining, 2021

2019

Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph.

Sirinthip Roomkham, Michael Hittle, Joseph Cheung, David R. Lovell, Emmanuel Mignot, Dimitri Perrin

F1000Research, 2019

2017

Capturing natural-colour 3D models of insects for species discovery.

Chuong V. Nguyen, David R. Lovell, Matt Adcock, John La Salle

CoRR, 2017

Towards High-Throughput 3D Insect Capture for Species Discovery and Diagnostics.

Chuong V. Nguyen, Matt Adcock, Stuart Anderson, David R. Lovell, Nicole Fisher, John La Salle

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

3D Scanning System for Automatic High-Resolution Plant Phenotyping.

Chuong V. Nguyen, Jurgen Fripp, David R. Lovell, Robert Furbank, Peter Kuffner, Helen Daily, Xavier Sirault

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015

Proportionality: A Valid Alternative to Correlation for Relative Data.

David Lovell, Vera Pawlowsky-Glahn, Juan José Egozcue, Samuel Marguerat, Jürg Bähler

PLoS Comput. Biol., 2015

Towards web-based semantic enrichment of 3D insects.

Stuart Anderson, Matt Adcock, Beth Mantle, John La Salle, Chuong V. Nguyen, David R. Lovell

Proceedings of the 20th International Conference on 3D Web Technology, 2015

2014

Accelerating entomology with Web3D insects.

Matt Adcock, Chuong V. Nguyen, David R. Lovell, John La Salle

Proceedings of the 19th International Conference on Web3D Technology, 2014

Compositional data analysis (CoDA) approaches to distance in information retrieval.

Paul Thomas, David Lovell

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Natural-color 3D insect models for education, entertainment, biosecurity and science.

Chuong V. Nguyen, David R. Lovell, Rolf Oberprieler, Debbie Jennings, Matt Adcock, Eleanor Gates-Stuart, John La Salle

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013

Virtual 3D Models of Insects for Accelerated Quarantine Control.

Chuong V. Nguyen, David R. Lovell, Rolf Oberprieler, Debbie Jennings, Matt Adcock, Eleanor Gates-Stuart, John La Salle

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Tubule detection in testis images using boundary weighting and circular shortest path.

Chao Zhang, Changming Sun, Rhonda Davey, Ran Su, Leanne Bischof, Pascal Vallotton, David Lovell, Shelly Hope, Sigrid A. Lehnert, Tuan D. Pham

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking.

Chuong V. Nguyen, Shahram Izadi, David R. Lovell

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011

An Observation about Circular Shortest Paths: Dealing with Additional Constraints Using Branch and Bound.

Pascal Vallotton, David Lovell, Janet Newman

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

1998

Feature selection using expected attainable discrimination.

David R. Lovell, Christopher R. Dance, Mahesan Niranjan, Richard W. Prager, Kevin J. Dalton, R. Derom

Pattern Recognit. Lett., 1998

1997

An evaluation of the neocognitron.

David R. Lovell, Thomas Downs, Ah Chung Tsoi

IEEE Trans. Neural Networks, 1997

1994

The neocognitron as a system for handwritten character recognition: limitations and improvements

David R. Lovell

PhD thesis, 1994

1993

Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply].

David R. Lovell, Ah Chung Tsoi, Tom Downs, Thomas H. Hildebrandt

IEEE Trans. Neural Networks, 1993